Python Data

THU CAO

Data Scientist

PROFESSIONAL SUMMARY

Highly-motivated and well-rounded Management Analyst with 5+ years of experience in data collection, dating mining, data analysis, and data visualizations. Proficient in statistics, Python, JupyterLab & Jupyter Notebooks, AWS SageMaker, Machine Learning (supervised and unsupervised learning), AWS Cloud Computing (EC2, S3), and SQL. Highly curious Data Science & Analytics graduate student with interests in Python, Artificial Intelligence, Machine Learning, Big Data, and IoT. Advanced in Excel and in creating effective presentations. Capable of analyzing problems and making recommendations including workflow processes and procedures. Ability to work independently and as part of a team. Communicate effectively, both orally and in writing. EDUCATION

MPS in Data Science & Analytics (Expected December 2021) University of Maryland, College Park, MD

MPH in Public Health Practice & Policy (2016-2018) University of Maryland, College Park, MD GPA: 3.74 Bachelor in Applied Science & Technology (2013-2016) Thomas Edison State University, Trenton, NJ

PROFESSIONAL EXPERIENCE

Management Analyst/COR

National Institutes of Health 01/2018-Present

Bethesda, MD

• Use MS PowerPoint and Excel (e.g., PivotTable, charts, regression, correlation, standard deviation, variance, VLOOKUP, and formulas) for data analysis and visualizations.

• Analyze technical and operational data such as performance and productivity metrics, turnover rate, patient average wait time, quality assurance data, and expense report for acquisitions. A Glen Burnie, MD E adhntc@r.postjobfree.com C 210-***-**** W www.LinkedIn.com/in/ThuCao CERTIFICATIONS

• CompTIA Sec+ (certified 10/2020)

• AWS Cloud Solutions Architect –

Associate (scheduled exam for

11/2020)

• FAC-COR II (certified 06/2020)

• Registered Respiratory Therapist

(credentialed 05/2013 - active)

• Coursera Machine Learning by

Stanford University (in progress)

HARD SKILLS

• Machine Learning

• Python (NumPy, Pandas, Scikit-

learn, & Matplotlib)

• JupyterLab & Jupyter Notebook

• AWS SageMaker

• AWS Cloud Computing (S3, EC2,

VPC)

• MS Excel, Word, PowerPoint, &

SharePoint

• MS SQL Server

• Statistics

• Presentation

• Data Analysis

• Data Mining

• Data Visualization

• Data Security

• Configurations

• Computer Science

• Project Management

• Conduct detailed analyses of complex functions and work processes of business and technical programs, prepare quantitative and qualitative analyses, and make

recommendations for 10+ program and operation improvements.

• Provide technical support to 10+ users as an Enterprise Scheduling System (ESS) Administrator; collaborate with IT department, architect, developers, and stakeholders on 15+ new initiatives to support research teams; received multiple performance-based awards.

• Develop program plans, goals, objectives, and milestones for departmental programs to solve business problems.

• Participate in Technical Evaluation Panel (TEP) on 1 staffing contract and 3 lodging contracts; research, review, and interpret Federal Acquisition Regulations (FAR).

Registered Respiratory Therapist (RRT)/ECMO Specialist MedStar Southern Maryland Hospital (Temp Contract) 11/2017–01/2018 Clinton, MD

MedStar St. Mary’s Hospital (Temp Contract) 06/2017–09/2017 Leonardtown, MD

The Queen’s Medical Center (Temp Contract) 02/2017–06/2017 Honolulu, HI

St. Agnes Hospital (Regular) 08/2016–02/2017

Baltimore, MD

• Completed multiple 12-week and 16-week contract traveling assignments to work in hospitals’ ICUs, NICUs, and EDs.

• Collected and analyzed critical patient hemodynamics, venous and arterial blood gasses, lab values, and medical images (e.g. x- rays) to monitor patient’s progress; adjust medications and ventilator settings to improve patient’s conditions.

• Assessed and managed critical care, including intubations, initiating mechanical ventilation and cardiopulmonary resuscitation in all age groups.

• Participated in 2 Venous-Venous ECMO cases as an ECMO Specialist at a Trauma Center.

U.S. Army Team Leader/RRT Shift Leader

Walter Reed National Military Medical Center 04/2012 – 04/2016 Army Base, Camp Casey, South Korea 06/2009 – 03/2012

• Managed a team of 9 staff members in Head Quarters and 5 RRTs to reach established goals that improved patient care.

• Collected, analyzed, and interpreted financial transactions data. Provided analysis and financial reports to Company Commander.

• Built collaborative plans with physicians and multidisciplinary teams to coordinate patient care plans in various ICUs and ED. SOFT SKILLS

• Customer Service

• Intellectual Curiosity

• Willingness to Learn

• Adaptability

• Effective Communication

• Collaboration

• Teamwork

• Problem-Solving

• Attention to Detail

• Time Management

• Self-initiation

AI/ML PROJECTS W/ PYTHON

ML Supervised Learning with Python

• Currently collaborating with other

Data Science students to create a

machine learning predictive model to

predict whether a woman will have

gestational diabetes based on features

such as BMI, age, skin thickness,

number of pregnancies, etc.. using

JupyterLab in AWS SageMaker

AI/ML Supervised Learning with Python

• Independently built a predictive

model with Decision Tree & Confusion

Matrix using NumPy, Pandas, Scikit-

Learn, & Matplotlib to predict

whether an individual will default on a

payment next month based on

features such as education, age,

history of payments, etc.. in

JupyterLab.

Object Detection with Python Project

• Used OpenCV/Python to detect faces

and eyes from moving objects in video

AWARDS

NIH Clinical Center CEO Award from

Dr. James Gilman (October 2020)

• Recognized for Telehealth process

development

NIH Director Award from Dr. Francis

Collins (July 2019)

• Recognized for Technical Support

5+ Performance Awards (2018-2020)

Contact this candidate